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Blue Altair

Data-driven digital transformation and API integration

Consultant / Senior Consultant Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Proficiency in Python, PySpark, and SQL, with an understanding of machine learning libraries.
  • Strong expertise in the Azure cloud ecosystem, particularly Databricks, Data Factory, and DevOps.
  • Hands-on experience implementing continuous integration and continuous delivery principles for data workflows.
  • Good understanding of APIs, web services, and data security practices.
  • Experience working with relational databases such as SQL Server, Oracle, or MySQL.
  • Ability to work independently and collaboratively in agile environments.

Responsibilities

  • Design, build, and optimize data pipelines and workflows across various data sources and platforms.
  • Architect and implement data solutions using Azure Databricks, Azure Data Factory, and Azure DevOps.
  • Collaborate with stakeholders to translate business and analytical requirements into scalable technical data models.
  • Develop data integration strategies using Python, PySpark, and SQL to support analytics, reporting, and machine learning initiatives.
  • Contribute to data architecture design across ingestion, transformation, and delivery layers.
  • Participate in continuous integration and continuous delivery pipeline development and deployment for data engineering projects.
  • Deliver high-quality, production-ready data solutions.
  • Stay updated with emerging tools, frameworks, and methodologies in the data engineering ecosystem.

About the Company

Blue Altair

Data-driven digital transformation and API integration

Blue Altair is a technology and business consulting firm that helps clients with digital transformation by treating data as a core asset. Its offerings center on data management (data governance, metadata management, data quality), API ecosystem development and management to integrate systems and reduce duplication, and applying machine learning and responsible AI to derive insights, automate manual tasks, and optimize outcomes. The company uses automated frameworks and a digital transformation strategy that blends ML/AI tools, business analytics, and QA as a Service (QAaaS). It serves forward-thinking, agile organizations building modern cloud-based architectures (microservices, DevSecOps) to meet customer needs. Its goal is to enable organizations to capture, store, process, and analyze data effectively to improve decisions and operations.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2015

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